Add trained snow prediction model and documentation

README.md

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----
-license: mit
----
+---
+title: Snow Predictor Basel
+emoji: 🌨️
+colorFrom: blue
+colorTo: white
+sdk: gradio
+sdk_version: 3.50.2
+app_file: app.py
+pinned: false
+---
+
+# 🌨️ Snow Predictor Basel
+
+A machine learning model that predicts snow in Basel, Switzerland **7 days in advance** using weather data.
+
+## 🎯 Model Performance
+
+- **Accuracy:** 77.4%
+- **Recall:** 84.0% (catches most snow events)
+- **Precision:** 16.4% (prioritizes safety over false alarms)
+- **ROC AUC:** 89.4%
+
+## 🚀 Features
+
+- **7-day ahead snow prediction**
+- **22 weather features** including temperature trends, precipitation patterns, and seasonal indicators
+- **High recall model** - designed to catch snow events rather than avoid false alarms
+- **Trained on 25 years** of Basel weather data (2000-2025)
+
+## 📊 Training Data
+
+- **Data source:** Meteostat API
+- **Location:** Basel, Switzerland (47.5584° N, 7.5733° E)
+- **Time period:** 2025-08-21
+- **Data points:** 9,278 days of weather data
+
+## 🔧 Usage
+
+```python
+import joblib
+
+# Load the model
+model_data = joblib.load('snow_predictor.joblib')
+model = model_data['model']
+scaler = model_data['scaler']
+feature_names = model_data['feature_names']
+
+# Make predictions
+# (Your prediction code here)
+```
+
+## 🏗️ Model Architecture
+
+- **Algorithm:** Logistic Regression
+- **Features:** Temperature, precipitation, pressure, wind, seasonal patterns
+- **Target:** Binary snow prediction (0 = no snow, 1 = snow)
+- **Prediction horizon:** 7 days ahead
+
+## 🌍 Use Case
+
+Perfect for:
+- **Personal planning** (weekend trips, outdoor activities)
+- **Business operations** (logistics, event planning)
+- **Weather enthusiasts** and researchers
+- **Anyone planning ahead** in Basel!
+
+## 📝 License
+
+MIT License - Feel free to use and modify!

snow_predictor.joblib

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